ABSTRACT
Complex event recognition (CER) refers to the detection of events in Big Data streams. The paper presents a summary of the most prominent models and algorithms for CER, and discusses the main conceptual links and the differences between them.
- Esper. http://esper.codehausGoogle Scholar
- A. Adi and O. Etzion. 2004. Amit - the situation manager. The VLDB Journal 13 (2004), 177--203. Issue 2. Google ScholarDigital Library
- D. Anicic, P. Fodor, S. Rudolph, R. Stühmer, N. Stojanovic, and R. Studer. 2011. ETALIS: Rule-Based Reasoning in Event Processing. 99--124.Google Scholar
- A. Artikis, M. J. Sergot, and G. Paliouras. 2015. An Event Calculus for Event Recognition. IEEE Trans. Knowl. Data Eng. 27, 4 (2015), 895--908.Google ScholarDigital Library
- A. Artikis, A. Skarlatidis, F. Portet, and G. Paliouras. 2012. Logic-Based Event Recognition. Knowledge Engineering Review 27, 4 (2012), 469--506. Google ScholarDigital Library
- L. Brenna, A. J. Demers, J. Gehrke, M. Hong, J. Ossher, B. Panda, M. Riedewald, M. Thatte, and W. M. White. 2007. Cayuga: a high-performance event processing engine. In SIGMOD. 1100--1102. Google ScholarDigital Library
- G. Cugola and A. Margara. 2010. TESLA: a formally defined event specification language. In DEBS. 50--61. Google ScholarDigital Library
- G. Cugola and A. Margara. 2012. Low latency complex event processing on parallel hardware. JPDC 72, 2 (2012), 205--218. Google ScholarDigital Library
- G. Cugola and A. Margara. 2012. Processing Flows of Information: From Data Stream to Complex Event Processing. Comput. Surveys 44, 3 (2012), 15. Google ScholarDigital Library
- C. Dousson and P. Le Maigat. 2007. Chronicle Recognition Improvement Using Temporal Focusing and Hierarchisation. In IJCAL 324--329. Google ScholarDigital Library
- I. Kolchinsky, I. Sharfman, and A. Schuster. 2015. Lazy evaluation methods for detecting complex events. In DEBS. 34--45. Google ScholarDigital Library
- M. Liu, E. A. Rundensteiner, K. Greenfield, C. Gupta, S. Wang, I. Ari, and A. Mehta. 2011. E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing. In SIGMOD, ACM, 889--900. Google ScholarDigital Library
- Y. Mei and S. Madden. 2009. ZStream: a cost-based query processor for adaptively detecting composite events. In SIGMOD. Google ScholarDigital Library
- B. Mozafari, K. Zeng, L. D'Antoni, and C. Zaniolo. 2013. High-performance complex event processing over hierarchical data. ACM TODS 38, 4 (2013), 21:1--21:39. Google ScholarDigital Library
- G. Van Noord and D. Gerdemann. 2001. Finite state transducers with predicates and identities. Grammars 4, 3 (2001), 263--286.Google ScholarCross Ref
- E. Wu, Y. Diao, and S. Rizvi. 2006. High-performance complex event processing over streams. In SIGMOD, ACM, 407--418. Google ScholarDigital Library
- H. Zhang, Y Diao, and N. Immerman. 2014. On complexity and optimization of expensive queries in complex event processing. In SIGMOD. 217--228. Google ScholarDigital Library
- Complex Event Recognition Languages: Tutorial
Recommendations
Towards complex actions for complex event processing
DEBS '13: Proceedings of the 7th ACM international conference on Distributed event-based systemsComplex actions are a natural extension for complex event processing languages needed by many applications like emergency management. In particular interactions with external actuators that are common in those applications pose challenges that need to ...
Semantic Rule-Based Complex Event Processing
RuleML '09: Proceedings of the 2009 International Symposium on Rule Interchange and ApplicationsOne of the critical success factors of event-driven systems is the capability of detecting complex events from simple and ordinary event notifications. Complex events which trigger or terminate actionable situations can be inferred from large event ...
The Complex Event Recognition Group
The Complex Event Recognition (CER) group is a research team, affiliated with the National Centre of Scientific Research "Demokritos" in Greece. The CER group works towards advanced and efficient methods for the recognition of complex events in a ...
Comments